Scale data by dataset mean and standard deviation

Test gene list for differences in response
Longer list
Of 715 genes of interest, 551 are represented by gene symbol in the IMPRES set.
For each of those, compute ANOVA for linear model, with dataset and objective_response as effects.
Lowest p-values
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P-value
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CYFIP2
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0.00389
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CCR7
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0.01251
|
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NFKB2
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0.01308
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ST6GAL1
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0.01470
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CXCL13
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0.01984
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TNFRSF11B
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0.02134
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STAT3
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0.02381
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HSD11B1
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0.02519
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IL21R
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0.03024
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IL2RA
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0.03321
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CD3E
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0.03585
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SELE
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0.03623
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BCL6
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0.03764
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CARD11
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0.04001
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FLT3
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0.04090
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IL17RA
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0.04130
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IRF1
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0.04222
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NFKB1
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0.04280
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TLR8
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0.04307
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LTB
|
0.04324
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Plots for top genes




















More focused list for SITC
Of 34 genes of interest, 27 are represented by gene symbol in the IMPRES set.
For each of those, compute ANOVA for linear model, with dataset and objective_response as effects.
P-values for the genes of interest
|
|
P-value
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TIGIT
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0.04394
|
|
CXCL9
|
0.05323
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|
CXCR3
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0.06164
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PDCD1
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0.06440
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GZMB
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0.06620
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|
LAG3
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0.06985
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|
IDO1
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0.07000
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PRF1
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0.07895
|
|
CD274
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0.09495
|
|
CD8A
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0.09949
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|
IFNGR1
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0.11839
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|
TNFRSF9
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0.12022
|
|
IRF8
|
0.13908
|
|
CXCL10
|
0.14721
|
|
THBD
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0.16915
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|
GZMA
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0.18311
|
|
HAVCR2
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0.20372
|
|
CCL5
|
0.23928
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|
FLT3LG
|
0.32395
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|
IFNGR2
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0.34578
|
|
ITGAM
|
0.50607
|
|
XCL1
|
0.52420
|
|
BATF3
|
0.55156
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NT5E
|
0.63707
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ENTPD1
|
0.74859
|
|
TGFB1
|
0.78055
|
|
ITGAE
|
0.82085
|
Plots for each gene



























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aXZlX3Jlc3BvbnNlIGFzIGVmZmVjdHMuCgpgYGB7ciBlY2hvPUYsd2FybmluZz1GQUxTRSwgbWVzc2FnZT1GQUxTRX0KZCA8LSBkZiAlPiUgZmlsdGVyKEdlbmUgJWluJSBnb2lzX2xvbmcpICU+JSBzZWxlY3QoR2VuZSxzY2FsZWRfdmFsdWUsZGF0YXNldCxvYmplY3RpdmVfcmVzcG9uc2UpICU+JSAuW2NvbXBsZXRlLmNhc2VzKC4pLF0gCmRkIDwtIGQgJT4lIHNwbGl0KC4kR2VuZSkgJT4lCiAgICAgICAgICAgIG1hcCggfiBsbShzY2FsZWRfdmFsdWUgfiBkYXRhc2V0ICsgb2JqZWN0aXZlX3Jlc3BvbnNlLCBkYXRhPS4pKSAlPiUKICAgICAgICAgICAgbWFwKGFub3ZhKSAlPiUKICAgICAgICAgICAgbWFwKH4uIFsib2JqZWN0aXZlX3Jlc3BvbnNlIiwiUHIoPkYpIl0pICU+JQogICAgICAgICAgICB1bmxpc3QoKQoKYGBgCgpMb3dlc3QgcC12YWx1ZXMKCmBgYHtyIHJlc3VsdHM9J2FzaXMnLCBlY2hvPUZBTFNFfQphIDwtIGFzLm1hdHJpeChoZWFkKHNvcnQoZGQsZGVjcmVhc2luZyA9RiksMjApKTsgIGNvbG5hbWVzKGEpICA8LSAiUC12YWx1ZSIKcHJpbnQoeHRhYmxlKGEsZGlnaXRzPTUpLHR5cGU9J2h0bWwnKQpgYGAKClBsb3RzIGZvciB0b3AgZ2VuZXMKCmBgYHtyIGVjaG89RiwgbWVzc2FnZT1GQUxTRSwgd2FybmluZz1GQUxTRSwgcGFnZWQucHJpbnQ9VFJVRX0KZm9yKGkgaW4gcm93Lm5hbWVzKGEpKXsKICBwcmludChwbG90X2dlbmVfc3RhdHNfYW5vbihkZiwgaSkpCn0KYGBgCgojIyMgTW9yZSBmb2N1c2VkIGxpc3QgZm9yIFNJVEMKCmBgYHtyIGVjaG89Rix3YXJuaW5nPUZBTFNFLCBtZXNzYWdlPUZBTFNFfQpnb2lzX3Nob3J0IDwtIHJlYWRfdHN2KGZpbGU9Ii4uL2RhdGEvZm9jdXNlZF9nZW5lX2xpc3QudHh0IilbWzFdXQpgYGAKCk9mIGByIGxlbmd0aChnb2lzX3Nob3J0KWAgZ2VuZXMgb2YgaW50ZXJlc3QsIGByIGxlbmd0aChpbnRlcnNlY3QoZ29pc19zaG9ydCx1bmlxdWUoZGYkR2VuZSkpKWAgYXJlIHJlcHJlc2VudGVkIGJ5IGdlbmUgc3ltYm9sIGluIHRoZSBJTVBSRVMgc2V0LgoKRm9yIGVhY2ggb2YgdGhvc2UsIGNvbXB1dGUgQU5PVkEgZm9yIGxpbmVhciBtb2RlbCwgd2l0aCBkYXRhc2V0IGFuZCBvYmplY3RpdmVfcmVzcG9uc2UgYXMgZWZmZWN0cy4KCmBgYHtyIGVjaG89Rix3YXJuaW5nPUZBTFNFLCBtZXNzYWdlPUZBTFNFfQpkIDwtIGRmICU+JSBmaWx0ZXIoR2VuZSAlaW4lIGdvaXNfc2hvcnQpICU+JSBzZWxlY3QoR2VuZSxzY2FsZWRfdmFsdWUsZGF0YXNldCxvYmplY3RpdmVfcmVzcG9uc2UpICU+JSAuW2NvbXBsZXRlLmNhc2VzKC4pLF0gCgpkZCA8LSBkICU+JSBzcGxpdCguJEdlbmUpICU+JQogICAgICAgICAgICBtYXAoIH4gbG0oc2NhbGVkX3ZhbHVlIH4gZGF0YXNldCArIG9iamVjdGl2ZV9yZXNwb25zZSwgZGF0YT0uKSkgJT4lCiAgICAgICAgICAgIG1hcChhbm92YSkgJT4lCiAgICAgICAgICAgIG1hcCh+LiBbIm9iamVjdGl2ZV9yZXNwb25zZSIsIlByKD5GKSJdKSAlPiUKICAgICAgICAgICAgdW5saXN0KCkKCmBgYAoKUC12YWx1ZXMgZm9yIHRoZSBnZW5lcyBvZiBpbnRlcmVzdApgYGB7ciByZXN1bHRzPSdhc2lzJywgZWNobz1GQUxTRX0KYSA8LSBhcy5tYXRyaXgoc29ydChkZCxkZWNyZWFzaW5nID0gRikpOyAgY29sbmFtZXMoYSkgIDwtICJQLXZhbHVlIgpwcmludCh4dGFibGUoYSxkaWdpdHM9NSksdHlwZT0naHRtbCcpCmBgYAoKUGxvdHMgZm9yIGVhY2ggZ2VuZQpgYGB7ciBlY2hvPUYsd2FybmluZz1GQUxTRSwgbWVzc2FnZT1GQUxTRX0KZm9yKGkgaW4gcm93Lm5hbWVzKGEpKXsKICBwcmludChwbG90X2dlbmVfc3RhdHNfYW5vbihkZiwgaSkpCn0KYGBgCg==